Senior Manager, Operations Analytics

Poshmark

Senior Manager of Operations Analytics at Poshmark driving insights and analytics across core operational functions. Leading a cross-geo analytics team and collaborating with stakeholders to optimize strategy.

Posted 4/12/2026full-timeRedwood City • California • 🇺🇸 United StatesSenior💰 $174,500 - $292,300 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own analytics delivery and insights across Operations and Accounting, spanning Payments, Fraud, Trust & Safety, Shipping, Customer support, and Revenue-related workflows.
Develop a deep understanding of Poshmark’s operational processes, data systems, and key performance drivers to deliver timely, high-impact insights.
Lead and manage a cross-geo team, providing regular review, coaching, and mentorship.
Translate complex analysis into clear narratives and recommendations for Director, VP, and Executive-level stakeholders, ensuring consistency and quality.
Build strong cross-functional partnerships with Product, Engineering, Data Science, Operations, and senior business and technology leaders to inform roadmap, prioritize testing, and shape business strategies.
Collaborate with Data Engineering and the broader Data organization to improve data quality, reporting, and analytics foundations and processes.
Proactively identify opportunities to improve operational efficiency, customer experience, and business outcomes through data.
Foster a culture of analytical rigor, ownership, experimentation, and continuous learning within the team.
Contribute to the evolution and scaling of the Operations Analytics function over time.

Requirements

What you’ll need

8+ years of experience in Data Analytics, with 4+ years in people leadership.
Marketplace, ecommerce, or social media experience preferred; operational (payments, fraud, shipping, customer support) or financial (revenue and cost accounting, forecasting) analytics a plus.
Experience managing managers and ICs (cross-geo teams a plus), with a passion for developing people and building data-driven teams.
Proficiency in SQL and comfort working with modern data stacks and BI tools.
Ability to execute effectively amid ambiguity and evolving priorities, with enthusiasm for defining and building in uncertain environments.

Benefits

Comp & perks

Health insurance
Retirement plans
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalyticsSQLOperational AnalyticsFinancial AnalyticsForecastingData Quality ImprovementReportingAnalytics FoundationsCross-Geo Team ManagementData-Driven Decision Making

Soft Skills

LeadershipCoachingMentorshipCommunicationCollaborationAnalytical RigorOwnershipExperimentationContinuous LearningAdaptability